Within this research topic, we investigate the variability and the predictability of climate taking both internal variations and external forcing into account. Internal variations determine climate predictability on a wide range of scales: While slow variations constitute predictability, short-term unpredictable fluctuations can notably limit predictability. External forcing factors affect climate predictability through the different climate responses to these perturbations. Our research is primarily based on numerical climate simulations.
Work within A1 investigates the variability and predictability of climate from three perspectives:
- Climate predictability affected by and resulting from internal variability: we aim to identify the masking effects of unpredictable fluctuations and their role for large-scale dynamics and investigate the mechanisms and deterministic time scales of predictable slow climate component.
- Quantifying and reducing uncertainties relevant for predictability: we aim to develop a parametrization of ocean mixing that depends on the climate state.
- Predictability originating from responses to perturbations in external forcing: we analyse past millennium simulations and apply methods of non-equilibrium statistical mechanics to the climate system.
- Wiegand, K. N., Brune, S., & Baehr, J. (2019). Predictability of Multiyear Trends of the Pacific Decadal Oscillation in an MPI-ESM Hindcast Ensemble. Geophysical Research Letters, 46(1), 318-325. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059469952&doi=10.1029%2f2018GL080661&partnerID=40&md5=5e0b0a0b20669539d4136181c5cefbd1.
- Badin, G., Franzke, C., Rademacher, J., & Oliver, M. (2019). Multi-scale Methods for Geophysical Flows. In C. Eden, & A. Iske (
Eds.), Energy Transfers in Atmosphere and Ocean (pp. 1-51). Cham: Springer. doi:10.1007/978-3-030-05704-6_1.
- Wahl, E., Zorita, E., Trouet, V., & Taylor, A. (2019). Jet stream dynamics, hydroclimate, and fire in California from 1600 CE to present. Proceedings of the National Academy of Sciences of the United States of America, 116(12), 5393-5398. doi:10.1073/pnas.1815292116.
- Kilic, C., Lunkeit, F., Raible, C. C., & Stocker, T. F. (2018). Stable Equatorial Ice Belts at High Obliquity in a Coupled Atmosphere-Ocean Model. Astrophysical Journal, 864(2): 106. Retrieved from 10.3847/1538-4357/aad5eb.
- Blender, R., Gohlke, D., & Lunkeit, F. (2018). Fluctuation analysis of the atmospheric energy cycle. Physical Review E, 98: 023101, pp. 1-7. doi:10.1103/PhysRevE.98.023101.